Hadoop云平台用户动态访问控制模型

杨宏宇; 孟令现

doi:10.11959/j.issn.1000-436x.2017142

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Hadoop云平台用户动态访问控制模型

学术论文 | 更新时间：2024-06-05

- Hadoop云平台用户动态访问控制模型
- Hadoop cloud platform user dynamic access control model
- 通信学报 2017年38卷第9期页码：9-17
- 作者机构：
  
  中国民航大学计算机科学与技术学院，天津 300300
- 作者简介：
  
  [ "杨宏宇（1969-），男，吉林长春人，博士，中国民航大学教授，主要研究方向为网络信息安全。" ]
  [ "孟令现（1990-），男，山东临沂人，中国民航大学硕士生，主要研究方向为云平台安全。" ]
- 基金信息：
  
  国家科技重大专项基金资助项目;The National Science and Technology Major Project(2012ZX03002002);中国民航科技基金资助项目;The Science ＆ Technology Project of CAAC(MHRD201009);中国民航科技基金资助项目;The Science ＆ Technology Project of CAAC(MHRD201205)
- DOI：10.11959/j.issn.1000-436x.2017142
  中图分类号： TP393
- 网络出版日期：2017-09，
  
  纸质出版日期：2017-09-25
- 稿件说明：
移动端阅览
杨宏宇, 孟令现. Hadoop云平台用户动态访问控制模型[J]. 通信学报, 2017,38(9):9-17.

Hong-yu YANG, Ling-xian MENG. Hadoop cloud platform user dynamic access control model[J]. Journal on communications, 2017, 38(9): 9-17.
杨宏宇, 孟令现. Hadoop云平台用户动态访问控制模型[J]. 通信学报, 2017,38(9):9-17. DOI： 10.11959/j.issn.1000-436x.2017142.

Hong-yu YANG, Ling-xian MENG. Hadoop cloud platform user dynamic access control model[J]. Journal on communications, 2017, 38(9): 9-17. DOI： 10.11959/j.issn.1000-436x.2017142.

摘要

为解决Hadoop云平台无法动态控制用户访问请求的问题，提出一种基于用户行为评估的Hadoop云平台动态访问控制（DACUBA

dynamic access control based on user behavior assessment）模型。该模型首先实时收集用户指令序列，通过并行指令序列学习（PCSL

parallel command sequence learning）获取用户行为轮廓。然后利用前向轮廓建立全局K模型，对后续行为序列进行分类并对分类结果进行评估。随后将评估结果与改进Hadoop访问控制机制结合，使云平台用户的访问权限随自身行为动态改变。最后通过实验验证了模型算法的有效性和动态访问控制机制的可行性。

Abstract

In order to solve the problem that Hadoop cloud platform could not dynamically control user access request

a Hadoop cloud dynamic access control model based on user behavior assessment (DACUBA) was proposed.The model first collected the user instruction sequence in real time and the user behavior contour was obtained by parallel command sequence learning (PCSL).Then the global K model was established by using the forward profile

the subsequent sequence was classified and the classification results were evaluated.The evaluation results were combined with the improved Hadoop access control mechanism to make the cloud platform users’ access rights change dynamically with their own behaviors.Experimental results demonstrate that the model algorithm is effective and the dynamic access control mechanism is feasible.

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references

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